Search for dissertations about: "parameterestimering"

Found 3 swedish dissertations containing the word parameterestimering.

  1. 1. Exploiting Prior Information in Parametric Estimation Problems for Multi-Channel Signal Processing Applications

    University dissertation from Stockholm : KTH Royal Institute of Technology

    Author : Petter Wirfält; KTH.; KTH.; [2013]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Array signal processing; covariance matrix; damped sinusoids; direction of arrival estimation; frequency estimation; Kronecker; NQR; NMR; parameter estimation; persymmetric; signal processing algorithms; structured covariance estimation; Toeplitz; Array; signalbehandling; kovariansmatris; dämpad sinus; riktningbestämning; frekvensskattning; Kronecker; NQR; NMR; parameterestimering; persymmetrisk; algoritm; strukturerad kovariansmatris; Toeplitz;

    Abstract : This thesis addresses a number of problems all related to parameter estimation in sensor array processing. The unifying theme is that some of these parameters are known before the measurements are acquired. READ MORE

  2. 2. Modeling, Model Validation and Uncertainty Identification for Power System Analysis

    University dissertation from Stockholm, Sweden : KTH Royal Institute of Technology

    Author : Tetiana Bogodorova; KTH.; [2017]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Power system modelling; model validation; parameter identification; uncertainty identification; Modelica; Electrical Engineering; Elektro- och systemteknik;

    Abstract : It is widely accepted that correct system modeling and identification are among the most important issues power system operators face when managing instability and post-contingency scenarios. The latter is usually performed involving special computational tools that allow the operator to forecast, prevent system failure and take appropriate actions according to protocols for different contingency cases in the system. READ MORE

  3. 3. Identification of Stochastic Nonlinear Dynamical Models Using Estimating Functions

    University dissertation from KTH Royal Institute of Technology

    Author : Mohamed Abdalmoaty; KTH.; [2019]
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Prediction Error Method; Maximum Likelihood; Data-driven; Learning; Stochastic; Nonlinear; Dynamical Models; Non-stationary Linear Predictors; Intractable Likelihood; Latent Variable Models; Estimation; Process Disturbance; Electrical Engineering; Elektro- och systemteknik;

    Abstract : Data-driven modeling of stochastic nonlinear systems is recognized as a very challenging problem, even when reduced to a parameter estimation problem. A main difficulty is the intractability of the likelihood function, which renders favored estimation methods, such as the maximum likelihood method, analytically intractable. READ MORE